Arizona Software Group
A statistic on its own tells you almost nothing. Is 64 good? It depends on what comparable units score, what this unit scored last year, and the world it operates in. ASG built the platform that answers all three questions at once.
Every location reported its numbers faithfully. But a number with nothing to compare it to is just a number, and leadership had no way to turn thousands of them into a judgment.
Was a unit doing well or struggling? Improving or sliding? Carrying its weight given the community it served? Answering any of those meant pulling reports from separate systems by hand, lining them up in spreadsheets, and hoping the comparison was fair. By the time the picture came together, the moment to act had passed.
A score meant nothing without knowing what comparable units achieved. There was no fair, automatic way to line like against like.
A single year hid the story. Was this stability, a one-off, or the start of a slide? Nobody could see the shape of the line.
The same result means different things in a wealthy suburb and a struggling rural county. Internal data alone couldn’t account for that.
Insight comes from comparison. We built the platform around three lenses, so any metric can be read against its peers, against its own past, and against the real world it operates in, without anyone assembling a spreadsheet.
Rank a unit against true peers, not the whole organization. Peer median and quartiles turn a raw score into a position: ahead, typical, or behind.
Read the same metric across years. Is it climbing, flat, or volatile? A trend line and a stability band separate a real shift from ordinary noise.
Blend in outside data such as the US Census, so performance is judged against the demographics and economics each unit actually faces.
Illustrative views built from sample data. The same metric, read three ways.
Your unit sits above the peer median, fourth of seven comparable units. The same number against the full organization would have looked merely average.
Below its peers five years ago, this unit has climbed steadily and now leads them. A single year would have missed the most important fact: the direction.
Each dot is a unit, placed by the median household income of the community it serves (US Census) against its participation rate. The trend line is what income alone would predict. Your unit sits well above it, outperforming the demographics it was dealt, which a raw ranking would never reveal.
The comparisons are only as fair as the data behind them. We pull from the systems that already run the organization and enrich them with trusted outside data, then reconcile it all into one model every dashboard reads from.
Internal sources keep the metrics current and accurate. External sources, like the US Census, give every number the real-world context that makes a comparison meaningful rather than misleading.
The activity and outcome metrics captured by units on the ground, the raw material of every KPI.
Who and what each unit is, so peers are grouped fairly and the org structure is always right.
The funding side of the picture, joined to activity so efficiency and effort can be read together.
Income, population, and demographics for each community, the backbone of the contextual scatter plots.
Location and catchment, so units are matched to the communities they actually serve.
Regional economic context to separate a unit’s effort from the headwinds or tailwinds around it.
Sector reference points that put the whole organization in a wider national frame.
All of it cleaned, matched, and reconciled into a single source the dashboards read from.
“For the first time, a number on the screen actually means something. We can see who needs help, who’s quietly excelling, and who just happens to sit in an easy ZIP code. That changed how we lead.”
Like units are compared to like, with peer median and quartiles, so no one is judged against a standard they could never meet.
Every metric carries its own history, so leaders see whether a unit is climbing, holding, or sliding before it becomes a crisis.
Census and economic data reveal the units outperforming their circumstances, and the ones coasting on an easy hand.
The manual assembly that used to delay every comparison is replaced by dashboards that are current the moment data lands.
Leadership can find the units that need help and the ones worth learning from, instead of reacting to whoever shouts loudest.
Everyone argues from the same reconciled data, so the conversation is about what to do, not whose numbers are right.
